Nonseperable two-dimensional fractional Fourier transform

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buir.contributor.authorHaldun M. Özaktaş
dc.citation.epage5453en_US
dc.citation.issueNumber23en_US
dc.citation.spage5444en_US
dc.citation.volumeNumber37en_US
dc.contributor.authorSahin, A.
dc.contributor.authorKutay, M. A.
dc.contributor.authorÖzaktaş, Haldun M.
dc.date.accessioned2019-01-31T09:03:12Z
dc.date.available2019-01-31T09:03:12Z
dc.date.issued1998en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractPrevious generalizations of the fractional Fourier transform to two dimensions assumed separable kernels. We present a nonseparable definition for the two-dimensional fractional Fourier transform that includes the separable definition as a special case. Its digital and optical implementations are presented. The usefulness of the nonseparable transform is justified with an image-restoration example.en_US
dc.description.provenanceSubmitted by Naile Okan (naile.okan@bilkent.edu.tr) on 2019-01-31T09:03:12Z No. of bitstreams: 1 Nonseperable_two-dimensional_fractional_Fourier_transform.pdf: 603773 bytes, checksum: 88b981aa13d3c7e23a7e1f79d7e105f2 (MD5)en
dc.description.provenanceMade available in DSpace on 2019-01-31T09:03:12Z (GMT). No. of bitstreams: 1 Nonseperable_two-dimensional_fractional_Fourier_transform.pdf: 603773 bytes, checksum: 88b981aa13d3c7e23a7e1f79d7e105f2 (MD5) Previous issue date: 1998en
dc.identifier.doi10.1364/AO.37.005444en_US
dc.identifier.eissn2155-3165
dc.identifier.issn1559-128X
dc.identifier.urihttp://hdl.handle.net/11693/48583
dc.language.isoEnglishen_US
dc.publisherOptical Society of Americaen_US
dc.relation.isversionofhttps://doi.org/10.1364/AO.37.005444en_US
dc.source.titleApplied Opticsen_US
dc.subjectCylindrical lensesen_US
dc.subjectFourier transformsen_US
dc.subjectFractional Fourier transformsen_US
dc.subjectImage processing algorithmsen_US
dc.subjectInterpolationen_US
dc.subjectTransformsen_US
dc.titleNonseperable two-dimensional fractional Fourier transformen_US
dc.typeArticleen_US

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